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oPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff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AxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%2FnAVHR0VAZAVHR0V%2FnAVHQJYHRUBkBUdHRX%2BcBUdHRUBkBUdHRX%2BcBUdMgGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHf29AZAVHR0V%2FnAVHR0CbQGQFR0dFf5wFR0dAAAJAAAAAARMBEwADwAfAC8APwBPAF8AbwB%2FAI8AdgCyDQAAK7E8bDMzsATNsTRkMjKwHS%2BxTHwzM7AUzbFEdDIysC0vsVyMMzOwJM2xVIQyMgGwkC%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%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qGQEsZGTIyMjIZAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9mgGQZGRkZGRkZGQA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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDM0OyIgZD0iTTEwMCAwdjExMDBoMTAwdi0xMTAwaC0xMDB6TTMwMCA0MDBxNjAgNjAgMTI3LjUgODR0MTI3LjUgMTcuNXQxMjIgLTIzdDExOSAtMzB0MTEwIC0xMXQxMDMgNDJ0OTEgMTIwLjV2NTAwcS00MCAtODEgLTEwMS41IC0xMTUuNXQtMTI3LjUgLTI5LjV0LTEzOCAyNXQtMTM5LjUgNDB0LTEyNS41IDI1dC0xMDMgLTI5LjV0LTY1IC0xMTUuNXYtNTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMzU7IiBkPSJNMCAyNzVxMCAtMTEgNyAtMTh0MTggLTdoNTBxMTEgMCAxOCA3dDcgMTh2MzAwcTAgMTI3IDcwLjUgMjMxLjV0MTg0LjUgMTYxLjV0MjQ1IDU3dDI0NSAtNTd0MTg0LjUgLTE2MS41dDcwLjUgLTIzMS41di0zMDBxMCAtMTEgNyAtMTh0MTggLTdoNTBxMTEgMCAxOCA3dDcgMTh2MzAwcTAgMTE2IC00OS41IDIyN3QtMTMxIDE5Mi41dC0xOTIuNSAxMzF0LTIyNyA0OS41dC0yMjcgLTQ5LjV0LTE5Mi41IC0xMzF0LTEzMSAtMTkyLjUgdC00OS41IC0yMjd2LTMwMHpNMjAwIDIwdjQ2MHEwIDggNiAxNHQxNCA2aDE2MHE4IDAgMTQgLTZ0NiAtMTR2LTQ2MHEwIC04IC02IC0xNHQtMTQgLTZoLTE2MHEtOCAwIC0xNCA2dC02IDE0ek04MDAgMjB2NDYwcTAgOCA2IDE0dDE0IDZoMTYwcTggMCAxNCAtNnQ2IC0xNHYtNDYwcTAgLTggLTYgLTE0dC0xNCAtNmgtMTYwcS04IDAgLTE0IDZ0LTYgMTR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzNjsiIGQ9Ik0wIDQwMGgzMDBsMzAwIC0yMDB2ODAwbC0zMDAgLTIwMGgtMzAwdi00MDB6TTY4OCA0NTlsMTQxIDE0MWwtMTQxIDE0MWw3MSA3MWwxNDEgLTE0MWwxNDEgMTQxbDcxIC03MWwtMTQxIC0xNDFsMTQxIC0xNDFsLTcxIC03MWwtMTQxIDE0MWwtMTQxIC0xNDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzNzsiIGQ9Ik0wIDQwMGgzMDBsMzAwIC0yMDB2ODAwbC0zMDAgLTIwMGgtMzAwdi00MDB6TTcwMCA4NTdsNjkgNTNxMTExIC0xMzUgMTExIC0zMTBxMCAtMTY5IC0xMDYgLTMwMmwtNjcgNTRxODYgMTEwIDg2IDI0OHEwIDE0NiAtOTMgMjU3eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMzg7IiBkPSJNMCA0MDF2NDAwaDMwMGwzMDAgMjAwdi04MDBsLTMwMCAyMDBoLTMwMHpNNzAyIDg1OGw2OSA1M3ExMTEgLTEzNSAxMTEgLTMxMHEwIC0xNzAgLTEwNiAtMzAzbC02NyA1NXE4NiAxMTAgODYgMjQ4cTAgMTQ1IC05MyAyNTd6TTg4OSA5NTFsNyAtOHExMjMgLTE1MSAxMjMgLTM0NHEwIC0xODkgLTExOSAtMzM5bC03IC04bDgxIC02Nmw2IDhxMTQyIDE3OCAxNDIgNDA1cTAgMjMwIC0xNDQgNDA4bC02IDh6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzOTsiIGQ9Ik0wIDBoNTAwdjUwMGgtMjAwdjEwMGgtMTAwdi0xMDBoLTIwMHYtNTAwek0wIDYwMGgxMDB2MTAwaDQwMHYxMDBoMTAwdjEwMGgtMTAwdjMwMGgtNTAwdi02MDB6TTEwMCAxMDB2MzAwaDMwMHYtMzAwaC0zMDB6TTEwMCA4MDB2MzAwaDMwMHYtMzAwaC0zMDB6TTIwMCAyMDB2MTAwaDEwMHYtMTAwaC0xMDB6TTIwMCA5MDBoMTAwdjEwMGgtMTAwdi0xMDB6TTUwMCA1MDB2MTAwaDMwMHYtMzAwaDIwMHYtMTAwaC0xMDB2LTEwMGgtMjAwdjEwMCBoLTEwMHYxMDBoMTAwdjIwMGgtMjAwek02MDAgMHYxMDBoMTAwdi0xMDBoLTEwMHpNNjAwIDEwMDBoMTAwdi0zMDBoMjAwdi0zMDBoMzAwdjIwMGgtMjAwdjEwMGgyMDB2NTAwaC02MDB2LTIwMHpNODAwIDgwMHYzMDBoMzAwdi0zMDBoLTMwMHpNOTAwIDB2MTAwaDMwMHYtMTAwaC0zMDB6TTkwMCA5MDB2MTAwaDEwMHYtMTAwaC0xMDB6TTExMDAgMjAwdjEwMGgxMDB2LTEwMGgtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNDA7IiBkPSJNMCAyMDBoMTAwdjEwMDBoLTEwMHYtMTAwMHpNMTAwIDB2MTAwaDMwMHYtMTAwaC0zMDB6TTIwMCAyMDB2MTAwMGgxMDB2LTEwMDBoLTEwMHpNNTAwIDB2OTFoMTAwdi05MWgtMTAwek01MDAgMjAwdjEwMDBoMjAwdi0xMDAwaC0yMDB6TTcwMCAwdjkxaDEwMHYtOTFoLTEwMHpNODAwIDIwMHYxMDAwaDEwMHYtMTAwMGgtMTAwek05MDAgMHY5MWgyMDB2LTkxaC0yMDB6TTEwMDAgMjAwdjEwMDBoMjAwdi0xMDAwaC0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0MTsiIGQ9Ik0wIDcwMGwxIDQ3NXEwIDEwIDcuNSAxNy41dDE3LjUgNy41aDQ3NGw3MDAgLTcwMGwtNTAwIC01MDB6TTE0OCA5NTNxMCAtNDIgMjkgLTcxcTMwIC0zMCA3MS41IC0zMHQ3MS41IDMwcTI5IDI5IDI5IDcxdC0yOSA3MXEtMzAgMzAgLTcxLjUgMzB0LTcxLjUgLTMwcS0yOSAtMjkgLTI5IC03MXoiIC8%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU5OyIgZD0iTTAgMjc1djY1MHEwIDMxIDIyIDUzdDUzIDIyaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzek05MDAgNjAwbDMwMCAzMDB2LTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDYwOyIgZD0iTTAgNDR2MTAxMnEwIDE4IDEzIDMxdDMxIDEzaDExMTJxMTkgMCAzMS41IC0xM3QxMi41IC0zMXYtMTAxMnEwIC0xOCAtMTIuNSAtMzF0LTMxLjUgLTEzaC0xMTEycS0xOCAwIC0zMSAxM3QtMTMgMzF6TTEwMCAyNjNsMjQ3IDE4MmwyOTggLTEzMWwtNzQgMTU2bDI5MyAzMThsMjM2IC0yODh2NTAwaC0xMDAwdi03Mzd6TTIwOCA3NTBxMCA1NiAzOSA5NXQ5NSAzOXQ5NSAtMzl0MzkgLTk1dC0zOSAtOTV0LTk1IC0zOXQtOTUgMzl0LTM5IDk1eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDg5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzIyIDUzN2wxNDEgMTQxIGw4NyAtODdsMjA0IDIwNWwxNDIgLTE0MmwtMzQ2IC0zNDV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MDsiIGQ9Ik00IDYwMHEwIDE2MiA4MCAyOTl0MjE3IDIxN3QyOTkgODB0Mjk5IC04MHQyMTcgLTIxN3Q4MCAtMjk5dC04MCAtMjk5dC0yMTcgLTIxN3QtMjk5IC04MHQtMjk5IDgwdC0yMTcgMjE3dC04MCAyOTl6TTE4NiA2MDBxMCAtMTE1IDYyIC0yMTVsNTY4IDU2N3EtMTAwIDYyIC0yMTYgNjJxLTE3MSAwIC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzkxIDI0NXE5NyAtNTkgMjA5IC01OXExNzEgMCAyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNSBxMCAxMTIgLTU5IDIwOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTMxOyIgZD0iTTUgNTk3cTAgMTIyIDQ3LjUgMjMyLjV0MTI3LjUgMTkwLjV0MTkwLjUgMTI3LjV0MjMyLjUgNDcuNXExNjIgMCAyOTkuNSAtODB0MjE3LjUgLTIxOHQ4MCAtMzAwdC04MCAtMjk5LjV0LTIxNy41IC0yMTcuNXQtMjk5LjUgLTgwdC0zMDAgODB0LTIxOCAyMTcuNXQtODAgMjk5LjV6TTI5OCA3MDFsMiAtMjAxaDMwMGwtMiAtMTk0bDQwMiAyOTRsLTQwMiAyOTh2LTE5N2gtMzAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMzI7IiBkPSJNMCA1OTdxMCAxMjIgNDcuNSAyMzIuNXQxMjcuNSAxOTAuNXQxOTAuNSAxMjcuNXQyMzEuNSA0Ny41cTEyMiAwIDIzMi41IC00Ny41dDE5MC41IC0xMjcuNXQxMjcuNSAtMTkwLjV0NDcuNSAtMjMyLjVxMCAtMTYyIC04MCAtMjk5LjV0LTIxOCAtMjE3LjV0LTMwMCAtODB0LTI5OS41IDgwdC0yMTcuNSAyMTcuNXQtODAgMjk5LjV6TTIwMCA2MDBsNDAyIC0yOTRsLTIgMTk0aDMwMGwyIDIwMWgtMzAwdjE5N3oiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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<div id="learning-to-comprehend-foreign-accented-speech-by-means-of-production-and-listening-training" class="section level1">
<h1>Learning to comprehend foreign-accented speech by means of production and listening training</h1>
<p><strong># Ann-Kathrin Grohe, Andrea Weber</strong> <strong># Language Learning, 2016</strong></p>
<p><em>R-Codes and results for statistical analyses (all experiments)</em></p>
<p>Load packages</p>
<pre class="r"><code>library(lme4)
library(lmerTest)
library(effects)</code></pre>
</div>
<div id="experiment-1-l2-learners" class="section level1">
<h1>Experiment 1 (L2-learners)</h1>
<div id="data-preparation" class="section level2">
<h2>Data Preparation</h2>
<pre class="r"><code># Read data and relevel the variables &quot;Training&quot; and &quot;Familiarity&quot; for later analyses.
rm(list = ls())
experiment1 = read.table(file=&quot;experiment1.txt&quot;, header=T)
# Production as reference level (instead of Control) --&gt; allows comparisons between Production and Listening group
experiment1$Training2=relevel(experiment1$Training, &quot;Production&quot;)
# old as reference level
experiment1$Familiarity2=relevel(experiment1$Familiarity, &quot;old&quot;)


# Subset data for endorsement rate analyses
hitsall=experiment1[experiment1$Status==&quot;critical&quot;,]
# Plot distribution of data in a density plot
plot(density(hitsall$RT))</code></pre>
<p><img src="data:image/png;base64,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" title alt width="672" /></p>
<pre class="r"><code># Exclude data points with RTs faster than 100 ms and slower than 2000 ms
hits=experiment1[experiment1$Status==&quot;critical&quot;&amp; experiment1$RT&gt;100 &amp; experiment1$RT&lt;2000,]
# Proportion of excluded items (overall)
(nrow(hitsall)-nrow(hits))/nrow(hitsall)</code></pre>
<pre><code>## [1] 0.04108796</code></pre>
<pre class="r"><code># Subset data for reaction time analyses (based on the endorsement rate subset)
rtall=hitsall[hitsall$corr==&quot;accepted&quot;,]
rt=hits[hits$corr==&quot;accepted&quot;,]
# Proportion of excluded items (of all accepted items)
(nrow(rtall)-nrow(rt))/nrow(rtall)</code></pre>
<pre><code>## [1] 0.04710921</code></pre>
<pre class="r"><code># Check for normal distribution (required for later analysis with lmer)
qqnorm(rt$logRT) 
qqline(rt$logRT)</code></pre>
<p><img 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" title alt width="672" /></p>
</div>
<div id="item-properties" class="section level2">
<h2>Item Properties</h2>
<pre class="r"><code># Show all critical items (used in all three experiments) and their frequency (logged occurences per Million)
aggregate(FreqMlnLog~Item, dat=hits, mean)</code></pre>
<pre><code>##            Item FreqMlnLog
## 1      thankful  1.6094379
## 2  Thanksgiving  1.0986123
## 3         theft  2.1972246
## 4      thematic  0.6931472
## 5        theory  4.7004804
## 6     therapist  2.0794415
## 7        thesis  2.9444390
## 8     thickness  1.6094379
## 9         thief  2.0794415
## 10        thing  6.9450511
## 11        think  7.6014023
## 12      thinner  0.0000000
## 13        third  5.2470241
## 14      thirsty  1.7917595
## 15       thirty  4.3567088
## 16     threaten  4.1588831
## 17    threshold  2.4849066
## 18     thriller  1.3862944
## 19       throat  3.8918203
## 20   throughout  4.6151205
## 21        throw  5.1179938
## 22        thumb  3.4011974
## 23      thunder  2.8332133
## 24     Thursday  3.1780538</code></pre>
</div>
<div id="participant-properties" class="section level2">
<h2>Participant Properties</h2>
<pre class="r"><code># Mean age
age=aggregate(Age~Subject, dat=experiment1, mean)
summary(age$Age)</code></pre>
<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    19.0    21.0    22.5    23.0    24.0    29.0</code></pre>
<pre class="r"><code># LexTale results
lextale=aggregate(LexTale~Subject, experiment1, mean)
summary(lextale$LexTale)</code></pre>
<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   46.00   62.00   71.00   71.16   80.00   95.00</code></pre>
</div>
<div id="endorsement-rates" class="section level2">
<h2>Endorsement Rates</h2>
<pre class="r"><code># Proportion of accepted critical items
nrow(hits[hits$corr==&quot;accepted&quot;,])/nrow(hits)</code></pre>
<pre><code>## [1] 0.5371153</code></pre>
<pre class="r"><code># Mean endorsement rates by each exposure group
hits.xtabs=xtabs(~Training+corr, data=hits)
prop.table(hits.xtabs,1)</code></pre>
<pre><code>##             corr
## Training      accepted  rejected
##   Control    0.5346715 0.4653285
##   Listening  0.6172161 0.3827839
##   Production 0.4618117 0.5381883</code></pre>
<pre class="r"><code># Mean endorsement rates by each exposure group and familiarity
hits.xtabs_fam=xtabs(~Training+Familiarity+corr, data=hits)
prop.table(hits.xtabs_fam,1)</code></pre>
<pre><code>## , , corr = accepted
## 
##             Familiarity
## Training           new       old
##   Control    0.2700730 0.2645985
##   Listening  0.3186813 0.2985348
##   Production 0.2468917 0.2149201
## 
## , , corr = rejected
## 
##             Familiarity
## Training           new       old
##   Control    0.2281022 0.2372263
##   Listening  0.1868132 0.1959707
##   Production 0.2486679 0.2895204</code></pre>
<pre class="r"><code># Mean endorsement rates of individual items
items=xtabs(~Item+corr, data=hits)
items2=prop.table(items,1)
sort(items2[,2])</code></pre>
<pre><code>##        thief    threshold       theory    therapist        thumb 
##    0.2000000    0.2500000    0.3285714    0.3787879    0.3970588 
##     thematic     thankful      thunder       thesis Thanksgiving 
##    0.4117647    0.4202899    0.4428571    0.4477612    0.4545455 
##        theft      thirsty     Thursday      thinner        thing 
##    0.4558824    0.4558824    0.4626866    0.4647887    0.4788732 
##     threaten   throughout        throw     thriller    thickness 
##    0.5000000    0.5000000    0.5211268    0.5285714    0.5507246 
##        think       thirty       throat        third 
##    0.5714286    0.5797101    0.6197183    0.6714286</code></pre>
<pre class="r"><code># Linear mixed effects model for endorsement rates
glmer.exp1=glmer(acc~
              FreqMlnLog+
              LexTale+
              (1|Subject)+(1|Item), family=&quot;binomial&quot;, data=hits)
summary(glmer.exp1)</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: acc ~ FreqMlnLog + LexTale + (1 | Subject) + (1 | Item)
##    Data: hits
## 
##      AIC      BIC   logLik deviance df.resid 
##   1625.8   1652.6   -807.9   1615.8     1558 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2825 -0.5225  0.1925  0.5611  4.1039 
## 
## Random effects:
##  Groups  Name        Variance Std.Dev.
##  Subject (Intercept) 2.640    1.6248  
##  Item    (Intercept) 0.313    0.5595  
## Number of obs: 1563, groups:  Subject, 68; Item, 24
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(&gt;|z|)    
## (Intercept)  6.14822    1.39057   4.421 9.81e-06 ***
## FreqMlnLog  -0.13555    0.07012  -1.933   0.0532 .  
## LexTale     -0.07640    0.01895  -4.032 5.53e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) FrqMlL
## FreqMlnLog -0.171       
## LexTale    -0.972  0.011</code></pre>
</div>
<div id="reaction-times" class="section level2">
<h2>Reaction Times</h2>
<pre class="r"><code># 1. Final Model as reported
lmer1.exp1=lmer(logRT~ 
           Training*Familiarity2 + 
           wavdur +
           (1+Familiarity|Subject)+(1|Item), data=rt)
summary(lmer1.exp1,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: logRT ~ Training * Familiarity2 + wavdur + (1 + Familiarity |  
##     Subject) + (1 | Item)
##    Data: rt
## 
## REML criterion at convergence: 1393
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.15778 -0.65007 -0.02276  0.64145  2.64475 
## 
## Random effects:
##  Groups   Name           Variance Std.Dev. Corr 
##  Subject  (Intercept)    0.081626 0.28570       
##           Familiarityold 0.005642 0.07511  -0.61
##  Item     (Intercept)    0.019646 0.14016       
##  Residual                0.231994 0.48166       
## Number of obs: 890, groups:  Subject, 72; Item, 24
## 
## Fixed effects:
##                                      Estimate Std. Error         df
## (Intercept)                         7.2173471  0.1711023 42.5900000
## TrainingListening                  -0.2658813  0.0939318 58.8500000
## TrainingProduction                 -0.3173454  0.0971117 66.0500000
## Familiarity2new                    -0.1377198  0.0843006 40.9400000
## wavdur                             -0.0011606  0.0002643 33.9500000
## TrainingListening:Familiarity2new   0.2047448  0.0812812 54.5500000
## TrainingProduction:Familiarity2new  0.2006683  0.0868229 62.8300000
##                                    t value Pr(&gt;|t|)    
## (Intercept)                         42.181  &lt; 2e-16 ***
## TrainingListening                   -2.831 0.006348 ** 
## TrainingProduction                  -3.268 0.001722 ** 
## Familiarity2new                     -1.634 0.109996    
## wavdur                              -4.391 0.000104 ***
## TrainingListening:Familiarity2new    2.519 0.014732 *  
## TrainingProduction:Familiarity2new   2.311 0.024113 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 wavdur TrL:F2
## TrnngLstnng -0.275                                   
## TrnngPrdctn -0.261  0.483                            
## Familrty2nw -0.022  0.168  0.162                     
## wavdur      -0.891  0.000 -0.004 -0.206              
## TrnngLst:F2  0.094 -0.330 -0.167 -0.513  0.001       
## TrnngPrd:F2  0.076 -0.162 -0.364 -0.482  0.014  0.498</code></pre>
<pre class="r"><code>plot(effect(c(&quot;Training*Familiarity2&quot;),lmer1.exp1))</code></pre>
<p><img 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" title alt width="1920" /></p>
<pre class="r"><code># 2. Control Model without the item &quot;thief&quot;
lmer2.exp1 = lmer(logRT~ 
                    Training*Familiarity2 +
                    wavdur +
                    (1+Familiarity|Subject)+(1|Item), data=rt, subset = Item != &quot;thief&quot;)
summary(lmer2.exp1,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: logRT ~ Training * Familiarity2 + wavdur + (1 + Familiarity |  
##     Subject) + (1 | Item)
##    Data: rt
##  Subset: Item != &quot;thief&quot;
## 
## REML criterion at convergence: 1325.8
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.13373 -0.65347 -0.00389  0.66403  2.63495 
## 
## Random effects:
##  Groups   Name           Variance Std.Dev. Corr 
##  Subject  (Intercept)    0.095246 0.30862       
##           Familiarityold 0.005878 0.07667  -0.82
##  Item     (Intercept)    0.015137 0.12303       
##  Residual                0.237385 0.48722       
## Number of obs: 834, groups:  Subject, 71; Item, 23
## 
## Fixed effects:
##                                      Estimate Std. Error         df
## (Intercept)                         7.3169951  0.1667453 38.9300000
## TrainingListening                  -0.2611617  0.0950826 57.3500000
## TrainingProduction                 -0.3259868  0.0981153 64.7500000
## Familiarity2new                    -0.0880568  0.0831201 40.8400000
## wavdur                             -0.0013282  0.0002572 29.9800000
## TrainingListening:Familiarity2new   0.2079850  0.0847884 50.6900000
## TrainingProduction:Familiarity2new  0.1797483  0.0904202 58.3800000
##                                    t value Pr(&gt;|t|)    
## (Intercept)                         43.881  &lt; 2e-16 ***
## TrainingListening                   -2.747  0.00803 ** 
## TrainingProduction                  -3.322  0.00147 ** 
## Familiarity2new                     -1.059  0.29565    
## wavdur                              -5.164 1.47e-05 ***
## TrainingListening:Familiarity2new    2.453  0.01765 *  
## TrainingProduction:Familiarity2new   1.988  0.05152 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 wavdur TrL:F2
## TrnngLstnng -0.282                                   
## TrnngPrdctn -0.269  0.481                            
## Familrty2nw  0.057  0.134  0.129                     
## wavdur      -0.890 -0.001 -0.006 -0.251              
## TrnngLst:F2  0.071 -0.238 -0.124 -0.544  0.004       
## TrnngPrd:F2  0.058 -0.122 -0.278 -0.511  0.012  0.499</code></pre>
<pre class="r"><code>#3. Control Model to exclude a speed-accuracy tradeoff
lmer3.exp1 = lmer(logRT~ 
                Training*Familiarity2 +
                wavdur +
                Endorsement+
                (1+Familiarity|Subject)+(1|Item), data=rt)
summary(lmer3.exp1,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: logRT ~ Training * Familiarity2 + wavdur + Endorsement + (1 +  
##     Familiarity | Subject) + (1 | Item)
##    Data: rt
## 
## REML criterion at convergence: 1389.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.1705 -0.6458 -0.0293  0.6507  2.6631 
## 
## Random effects:
##  Groups   Name           Variance Std.Dev. Corr 
##  Subject  (Intercept)    0.076098 0.27586       
##           Familiarityold 0.005616 0.07494  -0.56
##  Item     (Intercept)    0.019934 0.14119       
##  Residual                0.231477 0.48112       
## Number of obs: 890, groups:  Subject, 72; Item, 24
## 
## Fixed effects:
##                                      Estimate Std. Error         df
## (Intercept)                         7.3930430  0.1868308 57.9300000
## TrainingListening                  -0.2266395  0.0941879 61.2700000
## TrainingProduction                 -0.3224558  0.0959004 66.9900000
## Familiarity2new                    -0.1414408  0.0845746 41.0200000
## wavdur                             -0.0011582  0.0002653 34.2900000
## Endorsement                        -0.3157527  0.1347161 87.7700000
## TrainingListening:Familiarity2new   0.1999861  0.0812472 54.3200000
## TrainingProduction:Familiarity2new  0.1938563  0.0868072 62.6000000
##                                    t value Pr(&gt;|t|)    
## (Intercept)                         39.571  &lt; 2e-16 ***
## TrainingListening                   -2.406 0.019148 *  
## TrainingProduction                  -3.362 0.001281 ** 
## Familiarity2new                     -1.672 0.102062    
## wavdur                              -4.366 0.000111 ***
## Endorsement                         -2.344 0.021345 *  
## TrainingListening:Familiarity2new    2.461 0.017044 *  
## TrainingProduction:Familiarity2new   2.233 0.029121 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 wavdur Endrsm TrL:F2
## TrnngLstnng -0.173                                          
## TrnngPrdctn -0.243  0.472                                   
## Familrty2nw -0.031  0.172  0.171                            
## wavdur      -0.816  0.002 -0.004 -0.206                     
## Endorsement -0.399 -0.180  0.019  0.018 -0.007              
## TrnngLst:F2  0.080 -0.350 -0.176 -0.510  0.001  0.025       
## TrnngPrd:F2  0.061 -0.175 -0.383 -0.479  0.014  0.032  0.498</code></pre>
</div>
</div>
<div id="experiment-2-l2-learners-instruction-to-accept-critical-words" class="section level1">
<h1>Experiment 2 (L2-learners, instruction to accept critical words)</h1>
<div id="data-preparation-1" class="section level2">
<h2>Data Preparation</h2>
<pre class="r"><code># Read data and relevel the variables &quot;Training&quot; and &quot;Familiarity&quot; for later analyses.
rm(list = ls())
experiment2 = read.table(file=&quot;experiment2.txt&quot;, header=T)
experiment2$Training2=relevel(experiment2$Training, &quot;Production&quot;)
experiment2$Familiarity2=relevel(experiment2$Familiarity, &quot;old&quot;)


# Subset data for endorsement rate analyses
hitsall=experiment2[experiment2$Status==&quot;critical&quot;,]
# Plot distribution of data in a density plot
plot(density(hitsall$RT))</code></pre>
<p><img src="data:image/png;base64,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" 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<pre class="r"><code># Exclude data points with RTs faster than 100 ms and slower than 2000 ms
hits=experiment2[experiment2$Status==&quot;critical&quot;&amp; experiment2$RT&gt;100 &amp; experiment2$RT&lt;2500,]
# Proportion of excluded items (overall)
(nrow(hitsall)-nrow(hits))/nrow(hitsall)</code></pre>
<pre><code>## [1] 0.03710046</code></pre>
<pre class="r"><code># Subset data for reaction time analyses (based on the endorsement rate subset)
rtall=hitsall[hitsall$corr==&quot;accepted&quot;,]
rt=hits[hits$corr==&quot;accepted&quot;,]
# Proportion of excluded items (only accepted items)
(nrow(rtall)-nrow(rt))/nrow(rtall)</code></pre>
<pre><code>## [1] 0.03896104</code></pre>
<pre class="r"><code># Check for normal distribution (required for later analysis with lmer)
qqnorm(rt$logRT) 
qqline(rt$logRT)</code></pre>
<p><img 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" title alt width="672" /></p>
</div>
<div id="participant-properties-1" class="section level2">
<h2>Participant Properties</h2>
<pre class="r"><code># Mean age
age=aggregate(Age~Subject, dat=experiment2, mean)
summary(age$Age)</code></pre>
<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   18.00   21.00   22.00   23.26   25.00   31.00</code></pre>
<pre class="r"><code># LexTale results
lextale=aggregate(LexTale~Subject, experiment2, mean)
summary(lextale$LexTale)</code></pre>
<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   40.00   63.00   68.00   70.33   77.25  100.00</code></pre>
</div>
<div id="endorsement-rates-1" class="section level2">
<h2>Endorsement Rates</h2>
<pre class="r"><code># Mean endorsement rates
# Proportion of accepted critical items
nrow(hits[hits$corr==&quot;accepted&quot;,])/nrow(hits)</code></pre>
<pre><code>## [1] 0.7895673</code></pre>
<pre class="r"><code># Mean endorsement rates by exposure group
hits.xtabs=xtabs(~Training+corr, data=hits)
prop.table(hits.xtabs,1)</code></pre>
<pre><code>##             corr
## Training      accepted  rejected
##   Control    0.8395722 0.1604278
##   Listening  0.7982609 0.2017391
##   Production 0.7295826 0.2704174</code></pre>
<pre class="r"><code># Mean endorsement rates by exposure and familiarity
hits.xtabs_fam=xtabs(~Training+Familiarity+corr, data=hits)
prop.table(hits.xtabs_fam,1)</code></pre>
<pre><code>## , , corr = accepted
## 
##             Familiarity
## Training            new        old
##   Control    0.42067736 0.41889483
##   Listening  0.37739130 0.42086957
##   Production 0.37205082 0.35753176
## 
## , , corr = rejected
## 
##             Familiarity
## Training            new        old
##   Control    0.08021390 0.08021390
##   Listening  0.12521739 0.07652174
##   Production 0.13067151 0.13974592</code></pre>
<pre class="r"><code># Mean endorsement rates of individual items
items=xtabs(~Item+corr, data=hits)
items2=prop.table(items,1)
sort(items2[,2])</code></pre>
<pre><code>##     Thursday        thief Thanksgiving     thankful    therapist 
##   0.06557377   0.06944444   0.11111111   0.11764706   0.12121212 
##        thumb      thirsty        think      thinner       theory 
##   0.12328767   0.12857143   0.13698630   0.13698630   0.16901408 
##     thematic        thing     thriller        theft    thickness 
##   0.17808219   0.20547945   0.20547945   0.22535211   0.22535211 
##     threaten       thesis   throughout       thirty    threshold 
##   0.22535211   0.25000000   0.25352113   0.25714286   0.27536232 
##      thunder        throw       throat        third 
##   0.30985915   0.35714286   0.39436620   0.47887324</code></pre>
<pre class="r"><code># Linear mixed effects model for endorsement rates
glmer.exp2=glmer(acc~Training*Familiarity2+
                FreqMlnLog +
                (1+Familiarity|Subject)+(1|Item), family=&quot;binomial&quot;, data=hits)</code></pre>
<pre><code>## Warning in checkConv(attr(opt, &quot;derivs&quot;), opt$par, ctrl = control
## $checkConv, : Model failed to converge with max|grad| = 0.00199824 (tol =
## 0.001, component 3)</code></pre>
<pre class="r"><code>summary(glmer.exp2)</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: acc ~ Training * Familiarity2 + FreqMlnLog + (1 + Familiarity |  
##     Subject) + (1 | Item)
##    Data: hits
## 
##      AIC      BIC   logLik deviance df.resid 
##   1402.8   1462.6   -690.4   1380.8     1676 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.4679  0.1196  0.2705  0.4260  3.3518 
## 
## Random effects:
##  Groups  Name           Variance Std.Dev. Corr
##  Subject (Intercept)    1.3458   1.1601       
##          Familiarityold 0.4890   0.6993   1.00
##  Item    (Intercept)    0.4978   0.7055       
## Number of obs: 1687, groups:  Subject, 73; Item, 24
## 
## Fixed effects:
##                                    Estimate Std. Error z value Pr(&gt;|z|)
## (Intercept)                         3.15280    0.59258   5.320 1.04e-07
## TrainingListening                   0.29564    0.61460   0.481   0.6305
## TrainingProduction                 -0.73455    0.60716  -1.210   0.2264
## Familiarity2new                    -0.59620    0.43041  -1.385   0.1660
## FreqMlnLog                         -0.20631    0.09081  -2.272   0.0231
## TrainingListening:Familiarity2new  -0.88466    0.41955  -2.109   0.0350
## TrainingProduction:Familiarity2new  0.21331    0.40456   0.527   0.5980
##                                       
## (Intercept)                        ***
## TrainingListening                     
## TrainingProduction                    
## Familiarity2new                       
## FreqMlnLog                         *  
## TrainingListening:Familiarity2new  *  
## TrainingProduction:Familiarity2new    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 FrqMlL TrL:F2
## TrnngLstnng -0.500                                   
## TrnngPrdctn -0.516  0.495                            
## Familrty2nw -0.675  0.335  0.350                     
## FreqMlnLog  -0.583 -0.004  0.005  0.227              
## TrnngLst:F2  0.356 -0.752 -0.357 -0.459  0.008       
## TrnngPrd:F2  0.385 -0.366 -0.737 -0.485 -0.006  0.495</code></pre>
</div>
<div id="reaction-times-1" class="section level2">
<h2>Reaction Times</h2>
<pre class="r"><code># 1. Final Model as reported
lmer1.exp2=lmer(logRT~
            Training*Familiarity2+
            Voice+
            wavdur+
            (1|Subject)+(1|Item), data=rt)
summary(lmer1.exp2,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: 
## logRT ~ Training * Familiarity2 + Voice + wavdur + (1 | Subject) +  
##     (1 | Item)
##    Data: rt
## 
## REML criterion at convergence: 2024.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.9442 -0.6141  0.0022  0.5817  4.1785 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Subject  (Intercept) 0.04856  0.2204  
##  Item     (Intercept) 0.04093  0.2023  
##  Residual             0.23030  0.4799  
## Number of obs: 1332, groups:  Subject, 73; Item, 24
## 
## Fixed effects:
##                                      Estimate Std. Error         df
## (Intercept)                         7.146e+00  1.895e-01  7.040e+01
## TrainingListening                  -1.033e-01  7.776e-02  9.100e+01
## TrainingProduction                 -1.821e-01  7.989e-02  9.850e+01
## Familiarity2new                    -2.312e-02  9.584e-02  3.030e+01
## Voiceas                            -1.033e-01  5.888e-02  6.660e+01
## wavdur                             -1.403e-03  2.946e-04  6.830e+01
## TrainingListening:Familiarity2new   2.650e-01  6.329e-02  1.241e+03
## TrainingProduction:Familiarity2new  2.128e-01  6.566e-02  1.246e+03
##                                    t value Pr(&gt;|t|)    
## (Intercept)                         37.719  &lt; 2e-16 ***
## TrainingListening                   -1.329  0.18716    
## TrainingProduction                  -2.280  0.02479 *  
## Familiarity2new                     -0.241  0.81102    
## Voiceas                             -1.754  0.08406 .  
## wavdur                              -4.763 1.04e-05 ***
## TrainingListening:Familiarity2new    4.187 3.03e-05 ***
## TrainingProduction:Familiarity2new   3.242  0.00122 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 Voices wavdur TrL:F2
## TrnngLstnng -0.207                                          
## TrnngPrdctn -0.206  0.486                                   
## Familrty2nw -0.061  0.133  0.127                            
## Voiceas     -0.145  0.022  0.000  0.004                     
## wavdur      -0.892 -0.001  0.008 -0.204 -0.012              
## TrnngLst:F2  0.069 -0.399 -0.195 -0.329 -0.001  0.015       
## TrnngPrd:F2  0.076 -0.193 -0.424 -0.314  0.009  0.002  0.475</code></pre>
<pre class="r"><code>plot(effect(c(&quot;Training*Familiarity2&quot;),lmer1.exp2))</code></pre>
<p><img 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" title alt width="1920" /></p>
<pre class="r"><code># 2. Control Model without the item &quot;thief&quot;
lmer2.exp2=lmer(logRT~
            Training*Familiarity2+
            Voice+
            wavdur+
            (1|Subject)+(1|Item), data=rt, subset = Item != &quot;thief&quot;)
summary(lmer2.exp2,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: 
## logRT ~ Training * Familiarity2 + Voice + wavdur + (1 | Subject) +  
##     (1 | Item)
##    Data: rt
##  Subset: Item != &quot;thief&quot;
## 
## REML criterion at convergence: 1927.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.9766 -0.6133 -0.0127  0.6044  4.2369 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Subject  (Intercept) 0.05125  0.2264  
##  Item     (Intercept) 0.03976  0.1994  
##  Residual             0.23010  0.4797  
## Number of obs: 1265, groups:  Subject, 73; Item, 23
## 
## Fixed effects:
##                                      Estimate Std. Error         df
## (Intercept)                         7.200e+00  1.926e-01  6.930e+01
## TrainingListening                  -1.021e-01  7.919e-02  8.760e+01
## TrainingProduction                 -1.752e-01  8.139e-02  9.440e+01
## Familiarity2new                     2.933e-03  9.796e-02  2.960e+01
## Voiceas                            -9.881e-02  6.055e-02  6.630e+01
## wavdur                             -1.501e-03  3.012e-04  6.670e+01
## TrainingListening:Familiarity2new   2.594e-01  6.508e-02  1.176e+03
## TrainingProduction:Familiarity2new  2.251e-01  6.748e-02  1.180e+03
##                                    t value Pr(&gt;|t|)    
## (Intercept)                         37.374  &lt; 2e-16 ***
## TrainingListening                   -1.289 0.200657    
## TrainingProduction                  -2.153 0.033880 *  
## Familiarity2new                      0.030 0.976311    
## Voiceas                             -1.632 0.107432    
## wavdur                              -4.983 4.71e-06 ***
## TrainingListening:Familiarity2new    3.986 7.14e-05 ***
## TrainingProduction:Familiarity2new   3.336 0.000876 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 Voices wavdur TrL:F2
## TrnngLstnng -0.207                                          
## TrnngPrdctn -0.207  0.486                                   
## Familrty2nw -0.009  0.127  0.121                            
## Voiceas     -0.136  0.022  0.000  0.008                     
## wavdur      -0.895 -0.001  0.008 -0.246 -0.025              
## TrnngLst:F2  0.063 -0.381 -0.186 -0.331 -0.002  0.018       
## TrnngPrd:F2  0.072 -0.184 -0.404 -0.315  0.009  0.003  0.473</code></pre>
<pre class="r"><code># 3. Control Model to exclude speed-accuracy tradeoff
lmer3.exp2=lmer(logRT~
            Training*Familiarity2+
            Voice+
            wavdur+
            Endorsment +
            (1|Subject)+(1|Item), data=rt)
summary(lmer3.exp2,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: logRT ~ Training * Familiarity2 + Voice + wavdur + Endorsment +  
##     (1 | Subject) + (1 | Item)
##    Data: rt
## 
## REML criterion at convergence: 2027.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.9382 -0.6142  0.0021  0.5784  4.1764 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Subject  (Intercept) 0.04886  0.2210  
##  Item     (Intercept) 0.04097  0.2024  
##  Residual             0.23040  0.4800  
## Number of obs: 1332, groups:  Subject, 73; Item, 24
## 
## Fixed effects:
##                                      Estimate Std. Error         df
## (Intercept)                         7.052e+00  3.557e-01  1.257e+02
## TrainingListening                  -1.028e-01  7.794e-02  8.750e+01
## TrainingProduction                 -1.814e-01  8.009e-02  9.450e+01
## Familiarity2new                    -2.303e-02  9.588e-02  3.020e+01
## Voiceas                            -1.033e-01  5.903e-02  6.430e+01
## wavdur                             -1.404e-03  2.947e-04  6.820e+01
## Endorsment                          1.814e-02  5.824e-02  8.190e+01
## TrainingListening:Familiarity2new   2.654e-01  6.332e-02  1.240e+03
## TrainingProduction:Familiarity2new  2.133e-01  6.569e-02  1.244e+03
##                                    t value Pr(&gt;|t|)    
## (Intercept)                         19.828  &lt; 2e-16 ***
## TrainingListening                   -1.319   0.1907    
## TrainingProduction                  -2.265   0.0258 *  
## Familiarity2new                     -0.240   0.8118    
## Voiceas                             -1.750   0.0848 .  
## wavdur                              -4.763 1.03e-05 ***
## Endorsment                           0.312   0.7562    
## TrainingListening:Familiarity2new    4.191 2.97e-05 ***
## TrainingProduction:Familiarity2new   3.247   0.0012 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 Voices wavdur Endrsm TrL:F2
## TrnngLstnng -0.127                                                 
## TrnngPrdctn -0.134  0.486                                          
## Familrty2nw -0.035  0.132  0.127                                   
## Voiceas     -0.073  0.021  0.000  0.004                            
## wavdur      -0.468 -0.001  0.008 -0.204 -0.012                     
## Endorsment  -0.846  0.020  0.028  0.002 -0.005 -0.009              
## TrnngLst:F2  0.019 -0.397 -0.194 -0.329 -0.002  0.015  0.021       
## TrnngPrd:F2  0.020 -0.192 -0.422 -0.313  0.009  0.002  0.024  0.475</code></pre>
</div>
</div>
<div id="experiment-3-l1-participants-instruction-to-accept-critical-words" class="section level1">
<h1>Experiment 3 (L1-participants, instruction to accept critical words)</h1>
<div id="data-preparation-2" class="section level2">
<h2>Data Preparation</h2>
<pre class="r"><code># Read data and relevel the variables &quot;Training&quot; and &quot;Familiarity&quot; for later analyses.
rm(list = ls())
experiment3=read.table(file=&quot;experiment3.txt&quot;, header=T)
experiment3$Training2=relevel(experiment3$Training, &quot;Production&quot;)
experiment3$Familiarity2=relevel(experiment3$Familiarity, &quot;old&quot;)</code></pre>
<pre class="r"><code># Subset data for endorsement rate analyses
hitsall=experiment3[experiment3$Status==&quot;critical&quot;,]
# Plot distribution of data in a density plot
plot(density(hitsall$RT))</code></pre>
<p><img 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" title alt width="672" /></p>
<pre class="r"><code># Exclude data points with RTs faster than 100 ms and slower than 2000 ms
hits=experiment3[experiment3$Status==&quot;critical&quot;&amp; experiment3$RT&gt;100 &amp; experiment3$RT&lt;2000,]
# Proportion of excluded items (overall)
(nrow(hitsall)-nrow(hits))/nrow(hitsall) </code></pre>
<pre><code>## [1] 0.04097222</code></pre>
<pre class="r"><code># Subset data for reaction time analyses (based on the endorsement rate subset)
rtall=hitsall[hitsall$corr==&quot;accepted&quot;,]
rt=hits[hits$corr==&quot;accepted&quot;,]
# Check for normal distribution (required for later analysis with lmer)
qqnorm(rt$logRT) 
qqline(rt$logRT)</code></pre>
<p><img 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" title alt width="672" /></p>
<pre class="r"><code># Proportion of excluded items (of all accepted items)
(nrow(rtall)-nrow(rt))/nrow(rtall)</code></pre>
<pre><code>## [1] 0.04239631</code></pre>
</div>
<div id="participant-properties-2" class="section level2">
<h2>Participant Properties</h2>
<pre class="r"><code># Mean age
age=aggregate(Age~Subject, dat=experiment3, mean)
summary(age$Age)</code></pre>
<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   18.00   20.00   21.00   22.15   23.00   34.00</code></pre>
</div>
<div id="endorsement-rates-2" class="section level2">
<h2>Endorsement Rates</h2>
<pre class="r"><code># Proportion of accepted critical items
nrow(hits[hits$corr==&quot;accepted&quot;,])/nrow(hits)</code></pre>
<pre><code>## [1] 0.7523534</code></pre>
<pre class="r"><code># Mean acceptance rates by exposure group
hits.xtabs=xtabs(~Training+corr, data=hits)
prop.table(hits.xtabs,1)</code></pre>
<pre><code>##             corr
## Training      accepted  rejected
##   Control    0.7635575 0.2364425
##   Listening  0.7450980 0.2549020
##   Production 0.7483731 0.2516269</code></pre>
<pre class="r"><code># Mean endorsement rates by exposure and familiarity
hits.xtabs_fam=xtabs(~Training+Familiarity+corr, data=hits)
prop.table(hits.xtabs_fam,1)</code></pre>
<pre><code>## , , corr = accepted
## 
##             Familiarity
## Training            new        old
##   Control    0.38394794 0.37960954
##   Listening  0.34204793 0.40305011
##   Production 0.35791757 0.39045553
## 
## , , corr = rejected
## 
##             Familiarity
## Training            new        old
##   Control    0.11930586 0.11713666
##   Listening  0.15904139 0.09586057
##   Production 0.13882863 0.11279826</code></pre>
<pre class="r"><code># Mean endorsement rates of individual items
items=xtabs(~Item+corr, data=hits)
items2=prop.table(items,1)
sort(items2[,2])</code></pre>
<pre><code>## Thanksgiving     thankful        think    threshold    therapist 
##   0.02040816   0.03703704   0.05084746   0.05263158   0.07407407 
##     Thursday      thirsty        thing       thirty        thief 
##   0.07547170   0.08771930   0.11666667   0.11666667   0.11864407 
##       thesis      thinner        third        theft     thematic 
##   0.17857143   0.27118644   0.30508475   0.32203390   0.32203390 
##        throw       theory      thunder     threaten    thickness 
##   0.32203390   0.33333333   0.36206897   0.36842105   0.40350877 
##        thumb   throughout       throat     thriller 
##   0.44827586   0.45762712   0.49152542   0.51666667</code></pre>
<pre class="r"><code># Linear mixed effects model for endorsement rates
glmer.exp3=glmer(acc~Training*
                     Familiarity2+
                     scale(wavdur)+
                     (1+Familiarity|Subject)+(1|Item), family=&quot;binomial&quot;, data=hits)</code></pre>
<pre><code>## Warning in checkConv(attr(opt, &quot;derivs&quot;), opt$par, ctrl = control
## $checkConv, : Model failed to converge with max|grad| = 0.00282482 (tol =
## 0.001, component 3)</code></pre>
<pre class="r"><code>summary(glmer.exp3)</code></pre>
<pre><code>## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: 
## acc ~ Training * Familiarity2 + scale(wavdur) + (1 + Familiarity |  
##     Subject) + (1 | Item)
##    Data: hits
## 
##      AIC      BIC   logLik deviance df.resid 
##   1330.8   1388.3   -654.4   1308.8     1370 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -7.5742  0.0722  0.2931  0.5024  2.1734 
## 
## Random effects:
##  Groups  Name           Variance Std.Dev. Corr
##  Subject (Intercept)    0.7178   0.8472       
##          Familiarityold 0.1785   0.4225   1.00
##  Item    (Intercept)    1.0877   1.0429       
## Number of obs: 1381, groups:  Subject, 60; Item, 24
## 
## Fixed effects:
##                                    Estimate Std. Error z value Pr(&gt;|z|)
## (Intercept)                          1.8626     0.4637   4.016 5.91e-05
## TrainingListening                    0.4830     0.4894   0.987   0.3236
## TrainingProduction                   0.2148     0.4852   0.443   0.6580
## Familiarity2new                     -0.4049     0.5218  -0.776   0.4377
## scale(wavdur)                        0.4657     0.1831   2.543   0.0110
## TrainingListening:Familiarity2new   -0.9482     0.3828  -2.477   0.0132
## TrainingProduction:Familiarity2new  -0.4420     0.3801  -1.163   0.2449
##                                       
## (Intercept)                        ***
## TrainingListening                     
## TrainingProduction                    
## Familiarity2new                       
## scale(wavdur)                      *  
## TrainingListening:Familiarity2new  *  
## TrainingProduction:Familiarity2new    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP Fmlrt2 scl(w) TrL:F2
## TrnngLstnng -0.501                                   
## TrnngPrdctn -0.509  0.493                            
## Familrty2nw -0.669  0.229  0.233                     
## scale(wvdr)  0.108  0.014  0.009 -0.185              
## TrnngLst:F2  0.329 -0.689 -0.333 -0.348 -0.025       
## TrnngPrd:F2  0.336 -0.333 -0.678 -0.351 -0.018  0.499</code></pre>
</div>
<div id="reaction-times-2" class="section level2">
<h2>Reaction Times</h2>
<pre class="r"><code># Final Model as reported
lmer.exp3=lmer(logRT~
                   Training2+
                   Familiarity2*wavdur+
                   Voice+
                   (1|Subject)+(1+Voice|Item), data=rt)
summary(lmer.exp3,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: 
## logRT ~ Training2 + Familiarity2 * wavdur + Voice + (1 | Subject) +  
##     (1 + Voice | Item)
##    Data: rt
## 
## REML criterion at convergence: 1479.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.9101 -0.6182 -0.0682  0.6232  3.7694 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev. Corr 
##  Subject  (Intercept) 0.04849  0.2202        
##  Item     (Intercept) 0.05694  0.2386        
##           Voiceas     0.03423  0.1850   -0.22
##  Residual             0.19710  0.4440        
## Number of obs: 1039, groups:  Subject, 60; Item, 24
## 
## Fixed effects:
##                          Estimate Std. Error         df t value Pr(&gt;|t|)
## (Intercept)             7.1595719  0.3064851 22.2700000  23.360  &lt; 2e-16
## Training2Control        0.0519298  0.0777802 55.7100000   0.668  0.50711
## Training2Listening     -0.0474354  0.0778111 55.8700000  -0.610  0.54458
## Familiarity2new        -0.3877856  0.5176368 33.1500000  -0.749  0.45905
## wavdur                 -0.0016171  0.0005029 20.4000000  -3.216  0.00426
## Voiceas                -0.1374948  0.0744778 53.6500000  -1.846  0.07040
## Familiarity2new:wavdur  0.0008251  0.0008234 32.8300000   1.002  0.32366
##                           
## (Intercept)            ***
## Training2Control          
## Training2Listening        
## Familiarity2new           
## wavdur                 ** 
## Voiceas                .  
## Familiarity2new:wavdur    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) Trnn2C Trnn2L Fmlrt2 wavdur Voices
## Trnng2Cntrl -0.125                                   
## Trnng2Lstnn -0.129  0.501                            
## Familrty2nw -0.576  0.003  0.005                     
## wavdur      -0.952 -0.001  0.002  0.567              
## Voiceas     -0.150 -0.010  0.002  0.080  0.045       
## Fmlrty2nw:w  0.592 -0.004 -0.005 -0.980 -0.616 -0.081</code></pre>
<pre class="r"><code>plot(effect(c(&quot;Training2&quot;),lmer.exp3))</code></pre>
<p><img src="data:image/png;base64,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" title alt width="1920" /></p>
</div>
</div>
<div id="comparison-experiment-2-versus-experiment-3" class="section level1">
<h1>Comparison: Experiment 2 versus Experiment 3</h1>
<div id="data-preparation-3" class="section level2">
<h2>Data preparation</h2>
<pre class="r"><code># Import data (includes only critical items)
hits=read.table(&quot;experiment2and3.txt&quot;, header=T) 

# Subset data for reaction time analyses (based on the endorsement rate subset)
rt=hits[hits$corr==&quot;accepted&quot;,]
# Check for normal distribution (required for later analysis with lmer)
qqnorm(rt$logRT) 
qqline(rt$logRT)</code></pre>
<p><img 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" title alt width="672" /></p>
</div>
<div id="reaction-times-3" class="section level2">
<h2>Reaction Times</h2>
<pre class="r"><code>lmer.exp2and3 = lmer(logRT~
                Training*native*Familiarity+
                wavdur+
                (1|Subject)+(1|Item), data=rt)
summary(lmer.exp2and3,corr=F)</code></pre>
<pre><code>## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [merModLmerTest]
## Formula: 
## logRT ~ Training * native * Familiarity + wavdur + (1 | Subject) +  
##     (1 | Item)
##    Data: rt
## 
## REML criterion at convergence: 3487.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.9023 -0.6454 -0.0382  0.6057  4.3801 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Subject  (Intercept) 0.05106  0.2260  
##  Item     (Intercept) 0.04397  0.2097  
##  Residual             0.22173  0.4709  
## Number of obs: 2371, groups:  Subject, 133; Item, 24
## 
## Fixed effects:
##                                               Estimate Std. Error
## (Intercept)                                  6.888e+00  1.866e-01
## TrainingListening                           -9.773e-02  8.855e-02
## TrainingProduction                          -8.806e-02  8.813e-02
## nativeGER                                   -7.175e-02  8.319e-02
## Familiarityold                              -1.093e-01  1.009e-01
## wavdur                                      -1.005e-03  2.573e-04
## TrainingListening:nativeGER                  2.587e-01  1.187e-01
## TrainingProduction:nativeGER                 1.203e-01  1.189e-01
## TrainingListening:Familiarityold            -1.331e-02  7.204e-02
## TrainingProduction:Familiarityold            6.091e-02  7.181e-02
## nativeGER:Familiarityold                     1.573e-01  6.671e-02
## TrainingListening:nativeGER:Familiarityold  -2.477e-01  9.509e-02
## TrainingProduction:nativeGER:Familiarityold -2.755e-01  9.641e-02
##                                                     df t value Pr(&gt;|t|)
## (Intercept)                                  1.069e+02  36.913  &lt; 2e-16
## TrainingListening                            1.855e+02  -1.104 0.271179
## TrainingProduction                           1.821e+02  -0.999 0.319039
## nativeGER                                    1.724e+02  -0.862 0.389679
## Familiarityold                               3.460e+01  -1.083 0.286381
## wavdur                                       1.180e+02  -3.907 0.000156
## TrainingListening:nativeGER                  1.794e+02   2.179 0.030604
## TrainingProduction:nativeGER                 1.785e+02   1.012 0.313092
## TrainingListening:Familiarityold             2.221e+03  -0.185 0.853397
## TrainingProduction:Familiarityold            2.222e+03   0.848 0.396406
## nativeGER:Familiarityold                     2.218e+03   2.358 0.018448
## TrainingListening:nativeGER:Familiarityold   2.220e+03  -2.605 0.009252
## TrainingProduction:nativeGER:Familiarityold  2.224e+03  -2.858 0.004303
##                                                
## (Intercept)                                 ***
## TrainingListening                              
## TrainingProduction                             
## nativeGER                                      
## Familiarityold                                 
## wavdur                                      ***
## TrainingListening:nativeGER                 *  
## TrainingProduction:nativeGER                   
## TrainingListening:Familiarityold               
## TrainingProduction:Familiarityold              
## nativeGER:Familiarityold                    *  
## TrainingListening:nativeGER:Familiarityold  ** 
## TrainingProduction:nativeGER:Familiarityold ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre><code>## 
## Correlation of fixed effects could have been required in summary()</code></pre>
<pre><code>## 
## Correlation of Fixed Effects:
##             (Intr) TrnngL TrnngP ntvGER Fmlrty wavdur TrL:GER TrP:GER
## TrnngLstnng -0.236                                                   
## TrnngPrdctn -0.242  0.492                                            
## nativeGER   -0.251  0.520  0.523                                     
## Familirtyld -0.413  0.141  0.143  0.151                              
## wavdur      -0.886  0.004  0.010  0.004  0.171                       
## TrnngLs:GER  0.171 -0.746 -0.367 -0.700 -0.104  0.003                
## TrnngPr:GER  0.175 -0.364 -0.741 -0.699 -0.105 -0.002  0.490         
## TrnngLstn:F  0.097 -0.423 -0.199 -0.209 -0.351 -0.004  0.315   0.147 
## TrnngPrdc:F  0.109 -0.199 -0.413 -0.210 -0.355 -0.017  0.148   0.306 
## ntvGER:Fmlr  0.103 -0.213 -0.214 -0.398 -0.380 -0.002  0.278   0.278 
## TrnnL:GER:F -0.066  0.320  0.151  0.278  0.264 -0.005 -0.413  -0.195 
## TrnnP:GER:F -0.080  0.148  0.307  0.275  0.263  0.011 -0.193  -0.403 
##             TrnL:F TrnP:F nGER:F TL:GER:
## TrnngLstnng                             
## TrnngPrdctn                             
## nativeGER                               
## Familirtyld                             
## wavdur                                  
## TrnngLs:GER                             
## TrnngPr:GER                             
## TrnngLstn:F                             
## TrnngPrdc:F  0.493                      
## ntvGER:Fmlr  0.529  0.532               
## TrnnL:GER:F -0.758 -0.373 -0.700        
## TrnnP:GER:F -0.366 -0.744 -0.690  0.484</code></pre>
<pre class="r"><code>plot(effect(c(&quot;Training*native*Familiarity&quot;),lmer.exp2and3))</code></pre>
<p><img src="data:image/png;base64,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" 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